DocumentCode
3297053
Title
Retrieving albedo in small sample size
Author
Gao, Feng ; Strahler, Alan H. ; Lucht, Wolfgang ; Xia, Zong-guo ; Li, Xiaowen
Author_Institution
Inst. of Geogr. & Limnology, Acad. Sinica, Nanjing, China
Volume
5
fYear
1998
fDate
6-10 Jul 1998
Firstpage
2411
Abstract
A new criteria for kernels´ selection in Ambrals model is provided. Instead of using “least square” methods, “least variance” of white albedo which derived from Tarantola´s information theory is used. Several tests showed “least variance” had many advantages. First, it is less sensitive to noise. Second, it operated well with a small sample size. Third, it is less sensitive to the sampling position
Keywords
albedo; geophysical techniques; remote sensing; Ambrals model; Tarantola´s information theory; albedo; criteria; geophysical measurement technique; kernel selection; kernels´ selection; land surface; least variance; optical imaging; remote sensing; retrieval; small sample size; terrain mapping; white albedo; Bidirectional control; Geography; Information theory; Kernel; MODIS; Position measurement; Reflectivity; Sampling methods; Scattering; Sea surface;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location
Seattle, WA
Print_ISBN
0-7803-4403-0
Type
conf
DOI
10.1109/IGARSS.1998.702230
Filename
702230
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